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interpretable machine learning

139 papers

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Also known as

XAI IML

Co-occurring keywords

interpretable model (158) decision tree (322) concept bottleneck model (41) neural network (6616) explainable ai (478) model interpretability (510) image classification (1943) concept bottleneck (29) text classification (6776) model explanation (154)

Papers

LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification AAAI 2022
Fast Sparse Decision Tree Optimization via Reference Ensembles AAAI 2022
Optimizing Binary Decision Diagrams with MaxSAT for Classification AAAI 2022
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations AAAI 2022
Interpretable Low-Resource Legal Decision Making AAAI 2022
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation IJCAI 2022
Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models MLHC 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction ICML 2022
Do Feature Attribution Methods Correctly Attribute Features? AAAI 2022
Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting AAAI 2022
Extending Decision Tree to Handle Multiple Fairness Criteria IJCAI 2022
Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees AISTATS 2022
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking ACL 2022
Locally Sparse Neural Networks for Tabular Biomedical Data ICML 2022
Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges IJCAI 2022
Explainable Planner Selection for Classical Planning AAAI 2022
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes CVPR 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach NIPS 2022
Neural Basis Models for Interpretability NIPS 2022
Social Interpretable Tree for Pedestrian Trajectory Prediction AAAI 2022
Scalable Interpretability via Polynomials NIPS 2022
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties AISTATS 2021
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments AAAI 2021
Interpretable Random Forests via Rule Extraction AISTATS 2021
Interpretable Actions: Controlling Experts with Understandable Commands AAAI 2021